English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 12 Lessons (2h 4m) | 181 MB
Master Statistics for Data-Driven Careers. Build a robust statistical foundation for data science, analysis, and decision-making. Excel in interviews and apply your knowledge to real-world problems.
Fundamentals to Statistics for Data Science Careers: Master Concepts, Ace Interviews, Build Real-World Skills
You’ll learn
Statistical Problem Solver
Analyze real-world data using descriptive statistics, probability, and statistical tests. Draw meaningful conclusions from datasets.
Confident Data Analyst
Understand statistical inference, design experiments, interpret results, and communicate insights effectively to stakeholders.
Statistical Modeling Fundamentals
Build a solid foundation in linear regression. Use it to analyze trends, make predictions, and understand relationships within data.
Interview Ready Statistician
Explain core statistical concepts, demonstrate your thought process, and showcase your ability to apply statistics to solve problems.
Table of Contents
1 Introduction
2 Random Variables
3 Mean, Variance, Standard Deviation
4 Covariance & Correlation
5 Probability Distribution Functions
6 Conditional Probability & Bayes Theorem
7 Introduction to Causal Analysis & Linear Regression
8 Hypothesis Testing & Statistical Significance
9 P-Values, Type I & Type II Errors, Confidence Intervals
10 Statistical Tests (Part 1)
11 Statistical Tests (Part 2)
12 Inferential Statistics (CLT & LLN)
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